Analysis of Zero Altered & Inflated Data: Application to Helminths - Couverture souple

Chipeta, Michael Give

Couverture souple

ISBN 10 : 3845424567 ISBN 13 : 9783845424569

Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

Zero altered models were fitted and applied to two datasets (one from Malawi and another from Zambia). Malawi data were collected in a cluster randomized study, in Chikhwawa district in 2004, with 18 villages randomized to intervention and control arms with a total of 1642 participants. Zambia data were collected from school children in a cross-sectional study in Lusaka province in 2004 with a total of 2040 participants. Results from the study showed that Negative Binomial Logit Hurdle (NBLH) model offered best-fit to data inflated with zeros; with capability to handle over-dispersion, excess zeros and capture true zeros in the data. Its implementation and interpretation, ease of components, and its direct link with observed data make it a valuable alternative for analyzing zero inflated count data. Conclusions drawn from the study indicated that Helminths were highly localized, with small section of people harboring parasites; showing heterogeneous infection risk for both Malawi and Zambia settings. Joint modeling approach allowed identification of risk factors for infection presence and severity hence provide a platform to design combative control efforts.

Détails de l'édition

• Éditeur: LAP LAMBERT Academic Publishing
• Date d'édition: 2012
• Langue: anglais
• ISBN 10: 3845424567
• ISBN 13: 9783845424569
• Reliure: Broché
• Nombre de pages: 104
• Coordonnées du fabricant: non disponible
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